AI in Health Care: From Strategies to Implementation
- Executive Education
This two-month online program is designed to equip health care leaders with the knowledge and strategies to design, pitch, and implement AI-driven solutions and bring about transformative change in their organizations.
- Online; Instructor-Paced
Self-paced learning complemented by live sessions with faculty and weekly office hours conducted by program leaders.
$3,050
Flexible payment and team-based learning options are available.
Certificate
Upon completion of this program, you will receive a digital certificate from Harvard Medical School.
8 Weeks, 4-6 Hours/Week
Each week you will engage with recorded video lectures from faculty, attend webinars and office hours, complete quizzes and required activities, engage in moderated discussion groups with, and work on your final project, if required.
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Overview
The eight-week online AI in Health Care: From Strategies to Implementation program is designed to equip health care leaders with the knowledge and strategies to design, pitch and implement AI-driven solutions and bring about transformative change in their organizations. The program’s curriculum prepares leaders to make informed decisions and envision strategic AI implementation in the unique cultural, economic and regulatory context of health care.
Learning Objectives
- Evaluate existing AI systems in health care to understand their strengths and weaknesses.
- Identify new opportunities for AI in health care to address unmet needs.
- Assess the ethical implications and potential biases of AI technologies in health care settings.
Participant Types
Business leaders who are responsible for strategic decisions about AI-enabled initiatives in the health care or life sciences industry.
About the Program
Guided by expert Harvard Medical School faculty and guest speakers, develop a deep understanding of real-world data, digital medicine, and AI applications, and learn to translate AI concepts into actionable success.
Questions?
Contact one of our program advisors at learner.success@emeritus.org.
This Harvard Medical School Executive Education program is taught by HMS faculty and is promoted by Emeritus. Emeritus is responsible for advertising, marketing, registration, and collecting payment.
This program does not grant academic credit or professional certifications from Harvard Medical School.
Curriculum
Through case studies, real-world examples, and a capstone project, you will gain the skills needed to frame a machine learning solution for a health care challenge, evaluate and select appropriate AI models, and implement AI strategies from end to end. Explain the fundamentals of modern methods in AI, including the role of data and computing in building successful AI applications.
The capstone project is a core component of your readiness to implement AI in a real-world health care setting. The project will require you to ideate and pitch a new AI-first health care solution that addresses an unmet need. Your project will span the course of the program, enabling you to incorporate the concepts and frameworks you learn in each module to develop your pitch.
Teaching Team
Andrew Beam
PhD
- Chief Technology Officer, Lila Sciences, Inc.
- Associate Professor of Epidemiology, Harvard T.H. Chan School of Public Health
Luca Foschini
PhD
- Co-Founder and Chief Data Scientist, Evidation
Marzyeh Ghassemi
MSc, PhD
- Assistant Professor, Computer Science and Medicine, University of Toronto
Molly Gibson
PhD
- Principal, Flagship Pioneering
Lily Peng
MD, PhD
- Group Product Manager, Google Health
- Product Manager, Google Health
Karandeep Singh
BS, MD, MMSc
- Associate Professor in Biomedical Informatics, UC San Diego
- Chief Health AI Officer, UC San Diego Health
Learner Stories and Insights
